Theories in Business and Information Systems Engineering

Bichler, Martin; Frank, Ulrich; Avison, David; Malaurent, Julien; Fettke, Peter; Hovorka, Dirk S.; Krämer, Jan; Schnurr, Daniel; Müller, Benjamin; Suhl, Leena; Thalheim, Bernhard

doi:10.1007/s12599-016-0439-z

Cited by 38 publications

(35 citation statements)

References 91 publications

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“…The dominant research approaches to producing new knowledge in the IS field and contributing to practice and theory have been controversially discussed in recent years (see e.g., Bichler et al 2016;Grover and Lyytinen 2015;Hevner et al 2004). Against this background, we discuss and position studies in the field of process model comprehension.…”

Section: Research Approaches and Questionsmentioning

confidence: 99%

Comprehension of Procedural Visual Business Process Models

Figl

2017

Bus Inf Syst Eng

112

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Visual process models are meant to facilitate comprehension of business processes. However, in practice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cognitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empirical and theoretical work in order to categorize and summarize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two articles that discuss the factors that influence the comprehension of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments.

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Section: Research Approaches and Questionsmentioning

confidence: 99%

Comprehension of Procedural Visual Business Process Models

Figl

2017

Bus Inf Syst Eng

112

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“…In 2016, the department launched a discussion of concepts of theory. 10 colleagues participated in the discussion that was documented in a joint article (Bichler et al 2016). The discussion showed a remarkable diversity of theory concepts.…”

Section: Is Foundations and Research Methods Todaymentioning

confidence: 99%

Views on the Past, Present, and Future of Business and Information Systems Engineering

et al. 2018

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“…A number of recent contributions suggest revisiting what theory is and what roles it has in IS research (e.g., Avison and Malaurent 2014;Bichler et al 2016;Lee 2014;Majchrzak et al 2016;Markus 2014).…”

Section: Revisiting the Concept Of Theorymentioning

confidence: 99%

Understanding the Why, What, and How of Theories in IS Research

Mueller¹,

Urbach²

2017

CAIS

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Theory's pivotal importance has been emphasized in the information systems (IS) discipline since its inception. As in many fields of science, IS scholars' ability to understand and contribute to theory is an important qualification in research practice. This requires solid foundations for why we engage with theory, what theory is for us, and how we work with theory. We synthesize and reflect on the debates on theories and theorizing in the IS field. Our key contribution is to inform (new) authors of the prevailing state-of-the-art and to help identify opportunities in theorizing to put theory to work. While only a first step, we hope that our synthesis of the status quo advances our discipline's current efforts towards enhancing theorizing and addressing the increasing demand for theoretical contributions and that it critically reflects on the status quo to help us move beyond it.

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Theories in Business and Information Systems Engineering

Cited by 38 publications

References 91 publications

Comprehension of Procedural Visual Business Process Models

Comprehension of Procedural Visual Business Process Models

Views on the Past, Present, and Future of Business and Information Systems Engineering

Understanding the Why, What, and How of Theories in IS Research

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